{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 首次申请到开通成功的天数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 数据准备\n",
    "- 读取导出的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(r\"b:\\export__20180306054600.txt\",sep='\\t',\n",
    "                  dtype={\"user_id\":str,\"first_request_time\":str,\"time_apl\":str,\"days\":int})\n",
    "\n",
    "df = df[df['days']>=0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "首次申请至开通天数 平均： 11.010655\n"
     ]
    }
   ],
   "source": [
    "from numpy import mean, median\n",
    "print('首次申请至开通天数 平均： %f' % mean(df['days']))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 看下天数的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "当天开通 286848\n",
      "一个月内开通 19092\n",
      "一个月至三个月内开通 16742\n",
      "更长时间开通 18387\n"
     ]
    }
   ],
   "source": [
    "print('当天开通 %d' % len(df[df['days'] == 0]))\n",
    "print('一个月内开通 %d' % len(df[(df['days'] > 0) & (df['days']<=30)]))\n",
    "print('一个月至三个月内开通 %d' % len(df[(df['days'] > 30) & (df['days']<=90)]))\n",
    "print('更长时间开通 %d' % len(df[df['days'] > 90]))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 下面看下分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sns.set_palette('bright', desat=.6)\n",
    "sns.set_context(rc={'figure.figsize': (10, 5) } )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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i8rKLfv1r0mM/IX3fblK//AXE8XJHEpEWyDSawcxSwFZgNTANbHT3sarxS4FrgSKw3d1v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\n2P8DcaOS/r8zI2MAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x4d2cf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "ax1=sns.distplot(df['days'],color='r')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 当天开通的数量很大，不是很清晰，去除后图形"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Cw4b5DBmy82fo0F1v19XtvK9zDtEUqdCfNy/BsmVxJk/u4PjjNWpHyi8WC0YT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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xfe9b9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = df[df['days']>0]\n",
    "\n",
    "#%matplotlib inline\n",
    "ax2=sns.distplot(df['days'],color='b')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
